Neurological history both twinned and queried by generative artificial intelligence.

Journal: Frontiers in medicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVES: We propose the use of GPT-4 to facilitate initial history-taking in neurology and other medical specialties. A large language model (LLM) could be utilized as a digital twin which could enhance queryable electronic medical record (EMR) systems and provide healthcare conversational agents (HCAs) to replace waiting-room questionnaires.

Authors

  • Jung-Hyun Lee
    Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.
  • Eunhee Choi
    Department of Internal Medicine, Lincoln Medical Center, Bronx, NY, United States.
  • Sergio L Angulo
    Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.
  • Robert A McDougal
    Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, United States.
  • William W Lytton
    Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.

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